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Becoming a Prized Data Warehouse and Data Integration Tester

Dataversity

Data warehouse (DW) testers with data integration QA skills are in demand. Data warehouse disciplines and architectures are well established and often discussed in the press, books, and conferences. Each business often uses one or more data […]. Click to learn more about author Wayne Yaddow.

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Take Your SQL Skills To The Next Level With These Popular SQL Books

Data Pine

Business leaders, developers, data heads, and tech enthusiasts – it’s time to make some room on your business intelligence bookshelf because once again, datapine has new books for you to add. We have already given you our top data visualization books , top business intelligence books , and best data analytics books.

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Deciphering The Seldom Discussed Differences Between Data Mining and Data Science

Smart Data Collective

Data Mining is an important research process. It includes the analysis of hidden data models according to various translation options into useful information that is collected and generated in data warehouses to facilitate business decisions designed to reduce costs and increase income. Practical experience.

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Sisense’s Q2 Release: A Modern Data Experience Across the Analytics Continuum

Sisense

In-Warehouse Data Prep provides builders with the advanced functionality they need to rapidly transform and optimize raw data creating materialized views on cloud data warehouses. In-Warehouse Data Prep supports both AWS Redshift and Snowflake data warehouses.

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The Four Pillars of a Data Fluent Organization

Juice Analytics

The symptoms we see are varied: lack of management support, lack of end-user adoption; poorly defined requirements; data warehouse projects that never seem to finish. And for each of these problems, the data industry has crafted different “solutions” or technologies to try to address them. We wrote a book about it.

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Microsoft Azure Data Fundamentals: DP-900 Exam Preparation Guide

Whizlabs

Describing the components of a modern data warehouse. Describing data processing and data ingestion over Azure. Describing data visualization over Microsoft Power BI. How to Prepare for the Microsoft Azure Data Fundamentals DP-900 Exam? Azure Data Fundamentals: Explore Relational Data in Azure- 3 modules.

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Where Dark Data Lives and How to Mine It for Business Gain

Domo

Data repositories. Lots of data—structured and unstructured—gets dumped into data warehouses, lakes, and non-relational databases. These repositories often hold old records such as customer, employee, or financial data that must be kept for compliance reasons yet incur considerable storage costs.